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Published by: Elsevier
https://www.journals.elsevier.com/computers-and-industrial-engineering
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Engineering and Technology | 50 | 227 | 509 | 58 |
| Computer Science | 62 | 250 | 459 | 55 |
Computers & Industrial Engineering mostly deals with topics like Mathematical optimization, Operations research, Scheduling (computing), Supply chain and Job shop scheduling. The Mathematical optimization study featured in it draws connections with the study of Algorithm. Tardiness is a focus of the Scheduling (computing) works in it.
The studies on Supply chain discussed can also contribute to research in the domains of Microeconomics, Profit (economics) and Industrial organization. Research on Job shop scheduling addressed in the journal frequently intersections with the field of Scheduling (production processes). Computers & Industrial Engineering focuses on Heuristic as well as the interrelated topic of Heuristic (computer science).
The journal papers are mainly concerned with subjects like Mathematical optimization, Operations research, Supply chain, Job shop scheduling and Scheduling (computing). The journal articles feature Mathematical optimization research that overlaps with concepts in Algorithm. The most cited publications hold forums on Operations research that merge themes from other disciplines such as Quality (business), Production (economics) and Fuzzy logic.
Computers & Industrial Engineering explores disciplines such as Mathematical optimization, Supply chain, Operations research, Algorithm and Production (economics). The research on Mathematical optimization tackled can also make contributions to studies in the areas of Set (abstract data type) and Job shop scheduling. Job shop scheduling research presented falls under the umbrella topic of Scheduling (computing).
It explores topics in Supply chain which can be helpful for research in disciplines like Risk analysis (engineering), Industrial organization and Product (business). Studies on Industrial organization discussed in it link to the field of Competition (economics).
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Computers & Industrial Engineering (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Computers & Industrial Engineering (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 6.35% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.55% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.98% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.66% of all publications and 62.80% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Laith Mohammad Abualigah;Dalia Yousri;Mohamed Abd El-Aziz;Ahmed A. Ewees
(2021)Benyamin Abdollahzadeh;Farhad Soleimanian Gharehchopogh;Seyedali Mirjalili
(2021)Željko Stević;Dragan Pamučar;Adis Puška;Prasenjit Chatterjee
(2020)Tiago Zonta;Cristiano André da Costa;Rodrigo da Rosa Righi;Miromar José de Lima
(2020)Ming K. Lim;Ming K. Lim;Yan Li;Chao Wang;Ming-Lang Tseng;Ming-Lang Tseng
(2021)Ilker Kucukoglu;Reginald Dewil;Dirk Cattrysse
(2021)Leilei Meng;Leilei Meng;Chaoyong Zhang;Yaping Ren;Biao Zhang
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